performance-optimization
✓Performance analysis, optimization techniques, and performance testing for web applications. Covers profiling, bottleneck identification, frontend optimization (bundle size, rendering, Core Web Vitals), backend optimization (query optimization, caching, async patterns), load testing (k6, Artillery), and monitoring (performance budgets, SLIs). Use this skill when analyzing performance issues, optimizing slow pages or APIs, setting up load testing, implementing caching, reducing bundle sizes, or establishing performance budgets. Triggers on "performance", "slow", "optimize", "bundle size", "load testing", "cache", "bottleneck", "latency", "Core Web Vitals", "LCP", "FCP", "lighthouse", "profiling".
Installation
SKILL.md
Systematic approach to identifying and fixing performance bottlenecks.
| Enable gzip/brotli compression | 60-80% smaller | Low | | Add caching headers | Eliminate repeat downloads | Low | | Lazy load below-fold images | Faster initial paint | Low | | Preconnect to critical origins | 100-300ms savings | Low | | Remove unused CSS/JS | 20-50% smaller | Medium | | Code split by route | 50%+ smaller initial | Medium |
| Add database indexes | 10-100x faster queries | Low | | Enable query result caching | Eliminate repeat queries | Low | | Use connection pooling | Better throughput | Low | | Fix N+1 queries | 90%+ fewer queries | Medium | | Add response caching | Sub-ms responses | Medium |
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/srstomp/pokayokay --skill performance-optimization- Source
- srstomp/pokayokay
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-02
- Updated
- 2026-02-18
Quick answers
What is performance-optimization?
Performance analysis, optimization techniques, and performance testing for web applications. Covers profiling, bottleneck identification, frontend optimization (bundle size, rendering, Core Web Vitals), backend optimization (query optimization, caching, async patterns), load testing (k6, Artillery), and monitoring (performance budgets, SLIs). Use this skill when analyzing performance issues, optimizing slow pages or APIs, setting up load testing, implementing caching, reducing bundle sizes, or establishing performance budgets. Triggers on "performance", "slow", "optimize", "bundle size", "load testing", "cache", "bottleneck", "latency", "Core Web Vitals", "LCP", "FCP", "lighthouse", "profiling". Source: srstomp/pokayokay.
How do I install performance-optimization?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/srstomp/pokayokay --skill performance-optimization Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/srstomp/pokayokay
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-02